Overview
LIBOL is an open-source library that consists of a large family of state-of-the-art online learning algorithms for machine learning and data mining research. Currently it supports 30+ online linear algorithms and variants for binary classificaiton and multiclass classification tasks. <more...>
News
26/07/2016
We now have a new software LIBSOL for Scalable Online Learning with massiive-scale high-dimensiaonal data. See more from our software website: http://libsol.stevenhoi.org/
17/12/2014
Dr Hoi and Dr Zhao gave the tutorial for "Online Learning Methods for Big Data Analytics" at IEEE ICDM2014. The slides are now available online!
24/12/2013
The new release (Version 0.3.0) can be downloaded from here or from Github LIBOL.
23/12/2013
Our software was accpeted by JMLR Machine Learning Open Source Software (MLOSS).
12/12/2013
The new beta version (version 0.3.0) is now availabe! A template for new algorithms has been created to facilitate the implementation of new algorithms; more comprehensive documentation has been updated.
23/09/2013
The new beta version (version 0.2.3) is now availabe! It has been made fully compatibly with the Octave environement across multiple platforms.
27/07/2013
The new beta version (version 0.2.0) is now availabe! It includes both MATLAB and C implementations, and support both binary and multiclass classification.
04/05/2013
Dr Hoi gave the tutorial for "Online Learning for Big Data Mining" at SDM2013. The slides are now available online!
27/12/2012
The MATLAB beta version (version 0.1.0) is now availabe!
6/7/2012
The MATLAB alpha version is now availabe for testing upon email request. The beta version will be released very soon!
